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Chelsea Finn

Chelsea Finn✓ Add us as a preferred source on Google

X @chelseabfinn
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🔒 Paid proposals held safely in escrow — released only when the work's approved.

📣Sponsored postOne tweet with your link and creative. $794→ 🧵Sponsored threadA multi-tweet thread — X rewards long-form, threads out-reac… $1,985→ 🎬Sponsored video postA dedicated video tweet — X pushes video hard, so it gets pr… $1,112→ 📌Pinned postA sponsored post pinned to the top of my profile for the mon… $2,382/mo→ 📍Post + pin comboA sponsored post that also stays pinned for a set number of … $1,270→ 🔁Repost / quote-tweet packageI repost or quote-tweet your posts through the month — distr… $1,588/mo→ 🔗Bio link placementYour link in my bio for the month — X allows only one, so it… $1,191/mo→ 🎙️X Spaces appearance / hostI host or feature you in an X Space (live audio) — a branded… $1,588→ 🤝Cross-promo / mutual shoutoutWe shout each other out — a value swap between accounts. Swap→ 🎬UGC HireBranded content for your own channels & ads from $347→ 🎙️Podcast guest spotInvite Chelsea Finn onto your podcast (~45 min, remote) $347→ 📞1:1 ConsultPaid video call — advice, coaching or Q&A $75/hr→

Every booking is a normal escrow-protected deal.

Followers
99.2K
Posts
701
Following
397
Account age
12 yrs
🎁 Free analysisfor Chelsea Finn
🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

Known for

Very happy to start sharing our work at Pi 🤖❤️ - a 3B pre-trained generalist model trained on 8+ robot platforms - a post-training recipe that allows robots to do dexterous, long-horizon tasks https://t.co/PoW8kF9xD8 What's exciting isn't laundry, but the recipe- a short 🧵 359.2K views Very happy to start sharing our work at Pi 🤖❤️ - a 3B pre-trained generalist model trained on 8+ robot platforms - a post-training recipe that allows robots to do dexterous, long-horizon tasks https://t.co/PoW8kF9xD8 What's exciting isn't laundry, but the recipe- a short 🧵 We introduce a system for fine-grained robotic manipulation! 🤖 What’s new? * We can control cheap robots to do surprisingly dexterous tasks * New technique that allows robots to learn fine motor skills A short thread 🧵 264.5K views We introduce a system for fine-grained robotic manipulation! 🤖 What’s new? * We can control cheap robots to do surprisingly dexterous tasks * New technique that allows robots to learn fine motor skills A short thread 🧵 LLMs like ChatGPT are becoming more fluent – how can we detect if something was written by a language model or a human? We developed DetectGPT: a method for detecting if a passage was written by a particular language model. 247.7K views LLMs like ChatGPT are becoming more fluent – how can we detect if something was written by a language model or a human? We developed DetectGPT: a method for detecting if a passage was written by a particular language model. Our robot can now make you coffee 🤖☕ A short 🧵 on how it works ⬇️ 210.1K views Our robot can now make you coffee 🤖☕ A short 🧵 on how it works ⬇️

📊 Post performance

Recent posts · views
Jan 27latest
181.7K
Avg views / post
151K–264.5K
Typical post (views)
1.8×
Reach vs followers
72/100
Consistent reach
Jun 2014
On X since
Half of recent posts land between 151K and 264.5K views (median 181.7K) — a dependable floor a sponsored post can count on.

🔥 Top post: In light of tremendous AI advances & recent calls for pauses · 614.6K views

📊 Activity & format

Posting cadence
0.04 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 6 video · 5 image · 7 text.
Follower / following
250×
Follows 397 back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Verification
✓ X Premium
A paid X Premium (Blue) verified account.

Recent posts

View on X ↗
🔥 Top post In light of tremendous AI advances & recent calls for pauses on AGI research, I've decided to pivot our lab's direction. Going forward, we’ll focus entirely on certain real-world applications (see thread 🧵 for details). It was a hard decision but I'm excited for our future … 614.6K❤ 996🔁 108
▶ LLM post-training used to mean fine-tuning to a downstream task Robotics has been stuck in this setting, needing task-specific fine-tuning for best performance π07 changes this: It works out of the box & outperforms fine-tuned specia… 71.6K❤ 613🔁 91 ▶ Disappointed with your ICLR paper being rejected? Ten years ago today, Sergey and I finished training some of the first end-to-end neutral nets for robot control 🤖 We submitted the paper to RSS on January 23, 2015. It was rejected for b… 169.3K❤ 1.6K🔁 184 ▶ Very happy to start sharing our work at Pi 🤖❤️ - a 3B pre-trained generalist model trained on 8+ robot platforms - a post-training recipe that allows robots to do dexterous, long-horizon tasks https://t.co/PoW8kF9xD8 What's exciting isn… 359.2K❤ 1.9K🔁 303 ▶ Introducing a new, fully open robotics dataset! - 76k episodes - 564 unique scenes - 100 contributors - 13 labs/institutions - 3 continents https://t.co/LQYLrFtwOw A short 🧵 on the backstory 99K❤ 877🔁 154 I’m really excited to be starting a new adventure with multiple amazing friends & colleagues. Our company is called Physical Intelligence (Pi or π, like the policy). A short thread 🧵 181.7K❤ 1.6K🔁 153 DPO is a runner up for NeurIPS outstanding paper. 🙌 Big congrats especially to the students @rm_rafailov @archit_sharma97 @ericmitchellai & the other awardees. If you haven't learned about DPO already, check out the oral & poster… 147.9K❤ 841🔁 104 ▶ Our robot can now make you coffee 🤖☕ A short 🧵 on how it works ⬇️ 210.1K❤ 859🔁 161 Want to learn about meta-learning & few-shot learning? All of the latest lecture videos for Stanford CS330 are now online! https://t.co/PqNK2yqQ16 New topics in Fall '22 include: - self-supervised pre-training - large scale meta-opti… 151K❤ 910🔁 201 ▶ We introduce a system for fine-grained robotic manipulation! 🤖 What’s new? * We can control cheap robots to do surprisingly dexterous tasks * New technique that allows robots to learn fine motor skills A short thread 🧵 264.5K❤ 948🔁 203 LLMs like ChatGPT are becoming more fluent – how can we detect if something was written by a language model or a human? We developed DetectGPT: a method for detecting if a passage was written by a particular language model. 247.7K❤ 1K🔁 245 Common fine-tuning wisdom is to adapt the last layer or the entire neural net. We find that, sometimes, fine-tuning *only* the first layers or middle layers works best. Paper: https://t.co/68rHObOf7F A short 🧵 ❤ 786🔁 136

💡 Facts

🗓️Joined X in 2014 — 12 years ago.
👁️Averages 181.7K views per post.
📤Posts about 0× per week.
💬1.35% engagement rate.
🏅Earned the 10K Followers for passing 10K followers.

🕵️ Fake follower check

Estimated
69/100
Good Credibility score
85%
Real Real audience
Low Fake-follower risk
High Data confidence
  • Est. 85% real, active audience · Low fake-follower risk.
  • Engagement (~1.8× of followers engage each post) is around typical for X.
  • Organic base — far more followers than accounts it follows.
  • Verified account.
  • Established account (12+ years old).
  • 1.35% engagement — below the ~18% typical for this size.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Asst Prof of CS & EE @Stanford Co-founder of Physical Intelligence @physical_int PhD from @Berkeley_EECS, EECS BS from @MIT

📸 Gallery

LLM post-training used to mean fine-tuning to a downstream task Robotics has been stuck in this setting, needing task-specific fine-tuning for best performance π07 changes this: It works out of the box & outperforms fine-tuned specialists Details: https://t.co/QbO3E4D3QN Disappointed with your ICLR paper being rejected? Ten years ago today, Sergey and I finished training some of the first end-to-end neutral nets for robot control 🤖 We submitted the paper to RSS on January 23, 2015. It was rejected for being "incremental" and "unlikely to have Very happy to start sharing our work at Pi 🤖❤️ - a 3B pre-trained generalist model trained on 8+ robot platforms - a post-training recipe that allows robots to do dexterous, long-horizon tasks https://t.co/PoW8kF9xD8 What's exciting isn't laundry, but the recipe- a short 🧵 Introducing a new, fully open robotics dataset! - 76k episodes - 564 unique scenes - 100 contributors - 13 labs/institutions - 3 continents https://t.co/LQYLrFtwOw A short 🧵 on the backstory DPO is a runner up for NeurIPS outstanding paper. 🙌 Big congrats especially to the students @rm_rafailov @archit_sharma97 @ericmitchellai & the other awardees. If you haven't learned about DPO already, check out the oral & poster 👇 on Thurs afternoon. Our robot can now make you coffee 🤖☕ A short 🧵 on how it works ⬇️ We introduce a system for fine-grained robotic manipulation! 🤖 What’s new? * We can control cheap robots to do surprisingly dexterous tasks * New technique that allows robots to learn fine motor skills A short thread 🧵 LLMs like ChatGPT are becoming more fluent – how can we detect if something was written by a language model or a human? We developed DetectGPT: a method for detecting if a passage was written by a particular language model.

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

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Frequently asked questions

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Chelsea Finn has 99,198 followers on X.

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